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Oromotor Deficits in Minimally Verbal Children with ASD

自闭症谱系障碍儿童的口部运动缺陷

基本信息

批准号：
10470954
负责人：
JORDAN R GREEN
金额：
$ 62.93万
依托单位：
BOSTON UNIVERSITY (CHARLES RIVER CAMPUS)
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-09-01 至 2024-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10470954
关键词：
3-Dimensional Address Affect Age Biomechanics Child Clinical Communication Competence Computers Development Developmental Course Developmental Delay Disorders Disease Early Diagnosis Face Foundations Genetic Impairment Individual Intervention Knowledge Language Language Delays Language Development Language Disorders Link Longitudinal Studies Mastication Measures Methods Modeling Motion Motor Motor Skills Movement Neurobiology Oral Outcome Pathway interactions Pattern Performance Population Poverty Production Research Role Sampling Series Severities Speech Statistical Models System Techniques Technology Testing Time Work autism spectrum disorder autistic children base biomechanical test comorbidity design gait examination improved insight language impairment language outcome motor control motor deficit motor impairment multimodal data sex skills

项目摘要

PROJECT SUMMARY/ABSTRACT The factors that disrupt the normal acquisition of functional speech in minimally verbal (MV) children with autism (ASD) remain unknown. The proposed study uses computer-based biomechanic assessment to (1) Identify oromotor impairments in children with MV ASD; (2) Determine if the motor deficits in children with MV ASD are specific to the oromotor system or extend globally across motor systems; (3) Determine if the severity of oromotor deficit predicts impairments in communication development when nonverbal IQ is controlled for; and (4) Determine how oromotor development and language ability in children with MV ASD change over time. The scientific premise for this project is that biomechanic-based assessments will yield direct, objective, and highly- replicable information about the oromotor capabilities of children with MV ASD. To accomplish our aims, we will obtain comprehensive profiles of oromotor performance from 60 children with MV ASD, 45 age- and sex-matched verbal children with ASD, and 45 similarly matched TD controls using non-invasive, 3D facial-motion capture technology. We will also obtain clinical measures of speech and language ability, and several selected measure of gross motor function. All measures will be obtained longitudinally every 12 months for three time points. Robust statistical modeling methods will be used to characterize individual patterns of change in oromotor performance and the association between the acquisition of speech motor skills and those in other developmental domains (i.e., language and general-motor). The information obtained from this study will provide the foundational knowledge needed to address ongoing clinical and scientific challenges including improving early detection of autism impairments, predicting communication outcomes, and identifying the neurobiological and genetic mechanisms affecting communication development in this population.

项目总结/文摘